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DBMS > AnzoGraph DB vs. H2 vs. HEAVY.AI vs. LevelDB vs. TempoIQ

System Properties Comparison AnzoGraph DB vs. H2 vs. HEAVY.AI vs. LevelDB vs. TempoIQ

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websitecambridgesemantics.com/­anzographwww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldbtempoiq.com (offline)
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2database.com/­html/­main.htmldocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCambridge SemanticsThomas MuellerHEAVY.AI, Inc.GoogleTempoIQ
Initial release20182005201620112012
Current release2.3, January 20212.2.220, July 20235.10, January 20221.23, February 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC++
Server operating systemsLinuxAll OS with a Java VMLinuxIllumos
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesnoyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyesnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
HTTP API
Supported programming languagesC++
Java
Python
JavaAll languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsnonono
Triggersnoyesnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnosimple authentication-based access control

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More resources
AnzoGraph DBH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LevelDBTempoIQ infoformerly TempoDB
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